Analytical Thinking Skills for Problem Solving...

Analytical Thinking Skills for Problem Solving Employees of an organization face a large number of problems of various natures in their work life. The employees need to have personal resilience to handle the challenges and pressure which the problems bring along with them. It becomes easier for them to solve those problems if they have analytical thinking approach to the problems, have the required analytical skills with them, and know the use of various analytical tools. Analytical thinking is a powerful thinking process for understanding the parts of a situation. It is defined as the ability to scrutinize and break down facts and thoughts into their strengths and weaknesses and developing the capacity to think in a thoughtful, discerning way, to solve problems, analyze data, and recall and use information. Analytical thinking skills enable the employees to think through issues and to focus on priorities for action.  It not only supports the problem-solving but also helps in judgment and decision-making, and ensures action is followed through. The employees’ capacity to demonstrate analytical thinking skills make them give importance to a rigorous, logical and reflective approach to situations and issues which help in turn to stick to the art of the possible, and prevents burn out. These skills also help the employees to make best use of the resources to secure improvements and to bring results. With analytical skills, employees are able to identify and define problems, extract key information from data and develop workable solutions for the problems identified in order to test and verify the cause of the problem and develop solutions to resolve the problems identified. Employees having analytical skills are able to (i) evaluate information or situations, (ii) break them down into their key components, (iii) consider various ways of approaching...

Statistical Quality Control...

Statistical Quality Control Statistical quality control (SQC) is the term used to describe the set of statistical tools deployed for evaluating the organizational quality by the quality professionals. Statistical quality control can be divided into following three broad categories. Descriptive statistics – These are the statistics used to describe certain quality characteristics such as the central tendency and variability of the observed data. It also describes the relationship. Descriptive statistics include statistics such as the mean, standard deviation, the range, and a measure of the distribution of data. Statistical process control (SPC) – It consists of statistical tools that involve inspecting a random sample of the output from a process and deciding whether the process is producing products with characteristics that fall within a predetermined range. SPC answers the question whether the process is functioning properly or not. These tools are very important for a process since they help in identifying and catching a quality problem during the production process. Acceptance sampling – It helps in evaluating whether there is problem with quality and whether desirable quality is being achieved for a batch of product. Accepting sampling consists of the process of randomly inspecting a sample of goods and deciding whether to accept the entire lot based on the results. This sampling decides whether a batch of goods is to be accepted or rejected. There are seven basic tools employed for SQC. The seven basic tools of quality is a designation given to a fixed set of graphical techniques identified as being most helpful in trouble shooting issues related to quality. They are called basic because they are suitable for people with little formal training in statistics and because they can be used to solve the vast majority of quality related issues. These seven basic tools are described below. Check...

The process of decision making...

The process of decision making  People make decisions of varying importance every day. Studies have shown that most people are much poorer at decision making than they think. An understanding of what decision making involves, together with a few effective techniques, helps make better decisions. A simple decision making process is shown in Fig 1. Fig 1 Simple decision making process  Definitions and concepts  Decision making process is defined in many ways. Some of the definitions are given below. Decision making is the study of identifying and choosing alternatives based on the values and preferences of the decision maker. Decision making is regarded as the result of the mental processing for the selection of a course of action from several alternatives. Each decision making process results into a final choice which can be an action or an opinion. Decision making is the process of sufficiently reducing uncertainty and doubt about alternatives to allow a reasonable choice to be made from among them. The various concepts in the decision making process are as follows. Information-This is knowledge about the decision, the effects of its alternatives, the probability of each alternative, and so forth. A major point to make here is that while substantial information is desirable, the statement that “the more information, the better” is not true. Too much information can actually reduce the quality of a decision. Alternatives – These are the possibilities one has to choose from. Alternatives can be identified (that is, searched for and located) or even developed (created where they did not previously exist). Merely searching for preexisting alternatives will result in less effective decision making. Criteria – These are the characteristics or requirements that each alternative must possess to a greater or lesser extent. Usually the alternatives are rated on how...